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The online version of this article (doi:10.1007/s11136-013-0365-1) contains supplementary material, which is available to authorized users.
To develop a vision-targeted health-related quality of life (HRQOL) measure for the NIH Toolbox for the Assessment of Neurological and Behavioral Function.
We conducted a review of existing vision-targeted HRQOL surveys and identified color vision, low luminance vision, distance vision, general vision, near vision, ocular symptoms, psychosocial well-being, and role performance domains. Items in existing survey instruments were sorted into these domains. We selected non-redundant items and revised them to improve clarity and to limit the number of different response options. We conducted 10 cognitive interviews to evaluate the items. Finally, we revised the items and administered them to 819 individuals to calibrate the items and estimate the measure’s reliability and validity.
The field test provided support for the 53-item vision-targeted HRQOL measure encompassing 6 domains: color vision, distance vision, near vision, ocular symptoms, psychosocial well-being, and role performance. The domain scores had high levels of reliability (coefficient alphas ranged from 0.848 to 0.940). Validity was supported by high correlations between National Eye Institute Visual Function Questionnaire scales and the new-vision-targeted scales (highest values were 0.771 between psychosocial well-being and mental health, and 0.729 between role performance and role difficulties), and by lower mean scores in those groups self-reporting eye disease (F statistic with p < 0.01 for all comparisons except cataract with ocular symptoms, psychosocial well-being, and role performance scales).
This vision-targeted HRQOL measure provides a basis for comprehensive assessment of the impact of eye diseases and treatments on daily functioning and well-being in adults.
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Hays, R. D., Morales, L. S., & Reise, S. P. (2000). Item response theory and health outcomes measurement in the 21st Century. Medical Care, 38(9 Suppl), II28–II42. PubMed
Weih, L. M., Hassell, J. B., & Keeffe, J. E. (2002). Assessment of the impact of vision impairment. Investigative Ophthalmology and Visual Science, 43, 927–935. PubMed
Fairchild, C. J., Chalmers, R. L., & Begley, C. G. (2008). Clinically important difference in dry eye: Change in IDEEL-symptom bother. Optometry and Vision Science, 85(8), E699–E707. CrossRef
Abetz, L., Venkataraman, K., Mertzanis, P, et al. (2003). The development, reliability and validity of a questionnaire to assess the impact of dry eyes on everyday life (IDEEL). Investigative Ophthalmology and Visual Science, 44: 2477 (E-Abstract).
Pesudovs, K., Garamendi, E., Keeves, P., et al. (2003). The activities of daily vision scale for cataract surgery outcomes: Re-evaluating validity with Rasch analysis. Investigative Ophthalmology and Visual Science, 44(7).
Sloane, M. E., Ball, K., Owsley, C., et al. (1992). The visual activities questionnaire: Developing an instrument for assessing problems in everyday visual tasks. Technical Digest, Noninvasive Assessment of the Visual System, 1, 26–29.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334. CrossRef
MPlus: Muthen & Muthen. www.statmodel.com/.
Du Toit, M. (2003). IRT from Scientific Software International. SSI, Inc.
Paz, S. H. (2012). Vision and eye care. Encyclopedia of Immigrant Health. Berlin: Springer Science + Business Media, LLC.
- Development of a vision-targeted health-related quality of life item measure
Sylvia H. Paz
Ron D. Hays
- Springer Netherlands